Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: moluna, Greven, Germania
EUR 34,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search. 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: Majestic Books, Hounslow, Regno Unito
EUR 58,91
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 60,80
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507 ISBN 13: 9786202682503
Da: preigu, Osnabrück, Germania
EUR 35,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. An efficient algorithm for large-scale RFID Network Planning | Khalid Bin Hasnan (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202682503 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.